Leads end-to-end inference optimization for real-time voice and LLM models, improving latency, throughput, and GPU efficiency. Requires 5+ years of senior ML inference or systems engineering experience, expertise in vLLM/TRT-LLM, and hands-on GPU optimization with C++, CUDA, or Rust. Must reside in the United States.
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer, Inference based in the United States.
Join a high-performing engineering team developing advanced real-time voice and large language model (LLM) technology. As a Senior Machine Learning Engineer, you will own inference optimization from research through production deployment, helping bring sophisticated models to consumer-scale applications. You will tackle complex challenges involving latency, throughput, GPU efficiency, and distributed serving infrastructure.
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